Browser‑Based DLP Reveals 46% of Sensitive Uploads Go to Unsanctioned Accounts
Deploy Keep Aware browser extension across all users and configure policies to block unsanctioned uploads.
Deploy Keep Aware browser extension across all users and configure policies to block unsanctioned uploads.
Summary
Recent research by Keep Aware shows that 46 % of sensitive file uploads to web applications are sent to unsanctioned accounts, exposing a blind spot in traditional DLP that focuses on endpoints and networks. The modern workforce relies heavily on browser‑based tools such as Google Workspace, Microsoft 365, Salesforce, GitHub, Jira, and AI copilots, where users copy, paste, type, and upload data directly in the browser. Because the clipboard, form inputs, and AI prompt fields are invisible to endpoint or network DLP, sensitive data can leave the organization without triggering any alerts, even when the traffic is allowed. Keep Aware’s browser‑native DLP monitors copy‑paste events, form submissions, and file uploads in real time, identifies the originating application and account type, and enforces inline policies that block or warn against unsanctioned data movement. The solution also collects forensic evidence, allowing security teams to reconstruct the full timeline of a data‑leak event. By complementing existing DLP stacks, Keep Aware fills the visibility gap that network‑level tools cannot see. The platform is designed to operate without slowing productivity, providing real‑time alerts and policy enforcement across AI tools and other SaaS apps. Organizations can demo the technology to see how it protects data inside the browser.
Key changes
- 46 % of sensitive file uploads go to unsanctioned accounts
- Copy‑paste, form input, and AI prompt data are invisible to endpoint/network DLP
- Browser‑native DLP monitors copy‑paste, uploads, and form submissions in real time
- Contextual awareness of application, account type, and instance is used for policy enforcement
- Inline controls can block or warn against unsanctioned data movement
- Forensic evidence collection captures full timeline of data‑leak events